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DBMS > GraphDB vs. Graphite vs. PostgreSQL vs. Titan vs. TypeDB

System Properties Comparison GraphDB vs. Graphite vs. PostgreSQL vs. Titan vs. TypeDB

Editorial information provided by DB-Engines
NameGraphDB infoformer name: OWLIM  Xexclude from comparisonGraphite  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTitan  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLTitan is a Graph DBMS optimized for distributed clusters.TypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primary database modelGraph DBMS
RDF store
Time Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Graph DBMSGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.76
Rank#99  Overall
#8  Graph DBMS
#4  RDF stores
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Score0.65
Rank#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Websitewww.ontotext.comgithub.com/­graphite-project/­graphite-webwww.postgresql.orggithub.com/­thinkaurelius/­titantypedb.com
Technical documentationgraphdb.ontotext.com/­documentationgraphite.readthedocs.iowww.postgresql.org/­docsgithub.com/­thinkaurelius/­titan/­wikitypedb.com/­docs
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperOntotextChris DavisPostgreSQL Global Development Group infowww.postgresql.org/­developerAurelius, owned by DataStaxVaticle
Initial release200020061989 info1989: Postgres, 1996: PostgreSQL20122016
Current release10.4, October 202316.4, August 20242.28.3, June 2024
License infoCommercial or Open Sourcecommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache 2.0Open Source infoBSDOpen Source infoApache license, version 2.0Open Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonCJavaJava
Server operating systemsAll OS with a Java VM
Linux
OS X
Windows
Linux
Unix
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-free and OWL/RDFS-schema support; RDF shapesyesyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnoyesyesyes
SQL infoSupport of SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCnoyes infostandard with numerous extensionsnono
APIs and other access methodsGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP API
Sockets
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languages.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Clojure
Java
Python
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored procedureswell-defined plugin interfaces; JavaScript server-side extensibilitynouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonepartitioning by range, list and (since PostgreSQL 11) by hashyes infovia pluggable storage backendsno
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replication infoother methods possible by using 3rd party extensionsyesSynchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)noneImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoConstraint checkingnoyesyes infoRelationships in graphno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.nofine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serveryes infoat REST API level; other APIs in progress
More information provided by the system vendor
GraphDB infoformer name: OWLIMGraphitePostgreSQLTitanTypeDB infoformerly named Grakn
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more
News

GraphDB in Action: Using Semantics To Push The Envelope Of Software Engineering, Machine Learning, and E-Health Domains
11 September 2024

Accelerating End-to-end Knowledge Graph Solutions with Ontotext’s LinkedLifeData Inventory: The Case of Target Discovery
30 August 2024

Using Entity Linking to Turn Your Graph into a Knowledge Graph
23 August 2024

Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success
22 August 2024

The Power of Knowledge Graphs – A Chat with Perfect Memory and Ontotext
16 August 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GraphDB infoformer name: OWLIMGraphitePostgreSQLTitanTypeDB infoformerly named Grakn
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